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Senior Machine Learning Engineer (AI)

Формат работы
remote (только Europe)/hybrid/onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
CR/Slovakia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Machine Learning Engineer (AI): Designing and implementing cutting-edge GenAI-driven algorithmic components for search, recommendation, and behavioral insights with an accent on deep learning and scalability. Focus on building production-level AI systems that handle terabytes of data and integrating LLMs into the Loomi AI engine.

Location: Must be based in Central & Eastern Europe (Remote or Hybrid in Bratislava, Brno, or Prague).

Company

hirify.global is an agentic platform for personalization that powers AI-driven search, conversational shopping, and autonomous marketing for over 1,400 global brands.

What you will do

  • Design, develop, and enhance ML/AI models for search and recommendation engines.
  • Process large-scale historical data, queries, and catalogs to extract hidden relations.
  • Conduct research on state-of-the-art ML techniques, including deep learning and Generative AI.
  • Collaborate with Data Engineers to scale ML components to production-grade systems.
  • Stay current with research papers and emerging AI/ML technologies.

Requirements

  • Bachelor's or Master's degree in Computer Science or related field.
  • At least 3 years of experience in an ML engineering or data science role.
  • Strong proficiency in Python and mathematical foundations.
  • Experience with deep learning frameworks like PyTorch, Keras, or TensorFlow.
  • Solid understanding of NLP, information retrieval, and Generative AI/LLMs.
  • Experience with Big Data environments and SQL (Redshift/BigQuery).
  • Effective verbal and written communication skills in English.

Nice to have

  • Practical experience with GenAI stacks.
  • Expertise in knowledge graphs and semi-supervised learning.
  • Cloud-based infrastructure experience (AWS/GCP/Azure).

Culture & Benefits

  • Virtual-first work environment with flexible working hours and trust-based culture.
  • Access to People Development Programs and leadership coaching.
  • Annual professional education budget of $1,500.
  • Extended parental leave and comprehensive well-being support including Calm subscription and DisConnect days.
  • Participation in company performance bonuses and equity programs.

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